Solutions Architect

Huxley Associates; Greater London; Hybrid; GBP 40,000 - 70,000; Full time

Benefits offered by this job

Hybrid working

Private healthcare

28 days annual leave + holidays

Employee share scheme

Job summary

Huxley Associates seeks an accomplished Senior Enterprise/ Solution Architect to design end-to-end technology solutions across applications, data, AI services, and cloud environments. You will define architecture patterns, standards, ADRs, and roadmaps while guiding delivery teams.

The role demands 8+ years in strategic architecture, deep Azure expertise, governance experience in regulated settings, and strong stakeholder communication. Hybrid role in London or Glasgow with a competitive package.

Qualifications

• 8+ years of experience in Solution Architecture, Enterprise Architecture, or similar strategic architecture roles.
• Experience designing end-to-end enterprise technology solutions across multiple platforms and domains.
• Strong expertise in enterprise integration architecture including APIs, events, middleware, and data streaming.
• Hands-on experience with Generative AI, Large Language Models (LLMs), Agentic AI, AI orchestration frameworks, and automation platforms.
• Strong understanding of Microsoft Azure cloud services, integration platforms, and cloud-native architecture patterns.
• Experience designing data-centric solutions involving governance, data quality, lineage, and analytics platforms.
• Proven track record leading architecture reviews and influencing senior technology and business stakeholders.
• Experience working within regulated environments with strong security, privacy, risk, and governance requirements.
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Microsoft Azure Solutions Architect Expert certification or equivalent cloud architecture certification
• TOGAF or alternative Enterprise Architecture framework certification
• Experience with Dynamics 365, Power Platform, and Dataverse
• Knowledge of Responsible AI principles, AI governance frameworks, and explainability practices
• Experience with event-driven architectures, enterprise integration platforms, and API management solutions
• Experience operating within data-intensive, professional services, or workforce solutions environments
• Strong understanding of Master Data Management (MDM), data governance, and enterprise data strategies
• Continuous professional development across AI, cloud architecture, and integration technologies

Responsibilities

• Design end-to-end technology solutions spanning applications, integrations, data platforms, AI services, and cloud environments
• Define architecture patterns, standards, reference architectures, and implementation roadmaps
• Produce high-quality architecture documentation, solution designs, and Architecture Decision Records (ADRs)
• Lead architecture reviews and provide technical assurance throughout delivery lifecycles
• Design and govern Agentic AI and Generative AI solutions integrated with enterprise systems and data platforms
• Define AI orchestration patterns, prompt management approaches, agent workflows, and human-in-the-loop controls
• Establish secure integration architectures using APIs, event-driven technologies, middleware, ETL/ELT frameworks, and data streaming services
• Develop data flow models, canonical data structures, and data contracts that support analytics and AI adoption
• Ensure architecture solutions align with security, privacy, compliance, and governance requirements
• Collaborate closely with delivery squads, engineering teams, and product leaders to accelerate delivery outcomes
• Provide architectural guidance across multiple initiatives while influencing technology strategy and standards
• Mentor engineers, architects, and technical specialists on architecture best practices and modern design principles

Skills

Solution architecture

Enterprise architecture

APIs & integration

AI & Generative AI

Azure cloud

Data governance

Security & compliance

Communication

Leadership & mentoring

Education

Azure Solutions Architect Expert certification

TOGAF certification

Dynamics 365/Power Platform certification

Dataverse certification

Tools

Azure

Office 365

APIs

ETL/ELT tools

Dataverse

AI orchestration platforms

Job description

Salary: £40,000 - 70,000 per year

Requirements:

• 8+ years of experience in Solution Architecture, Enterprise Architecture, Integration Architecture, or similar strategic architecture roles
• Demonstrated experience designing end-to-end enterprise technology solutions across multiple platforms and domains
• Strong expertise in enterprise integration architecture including APIs, events, middleware, and data streaming technologies
• Hands-on experience with Generative AI, Large Language Models (LLMs), Agentic AI, AI orchestration frameworks, and automation platforms
• Strong understanding of Microsoft Azure cloud services, integration platforms, and cloud-native architecture patterns
• Experience designing data-centric solutions involving governance, data quality, lineage, and analytics platforms
• Proven track record leading architecture reviews and influencing senior technology and business stakeholders
• Experience working within regulated environments with strong security, privacy, risk, and governance requirements
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences
• Microsoft Azure Solutions Architect Expert certification or equivalent cloud architecture certification
• TOGAF or alternative Enterprise Architecture framework certification
• Experience with Dynamics 365, Power Platform, and Dataverse
• Knowledge of Responsible AI principles, AI governance frameworks, and explainability practices
• Experience with event-driven architectures, enterprise integration platforms, and API management solutions
• Experience operating within data-intensive, professional services, or workforce solutions environments
• Strong understanding of Master Data Management (MDM), data governance, and enterprise data strategies
• Continuous professional development across AI, cloud architecture, and integration technologies

Responsibilities:

• Design end-to-end technology solutions spanning applications, integrations, data platforms, AI services, and cloud environments
• Define architecture patterns, standards, reference architectures, and implementation roadmaps
• Produce high-quality architecture documentation, solution designs, and Architecture Decision Records (ADRs)
• Lead architecture reviews and provide technical assurance throughout delivery lifecycles
• Design and govern Agentic AI and Generative AI solutions integrated with enterprise systems and data platforms
• Define AI orchestration patterns, prompt management approaches, agent workflows, and human-in-the-loop controls
• Establish secure integration architectures using APIs, event-driven technologies, middleware, ETL/ELT frameworks, and data streaming services
• Develop data flow models, canonical data structures, and data contracts that support analytics and AI adoption
• Ensure architecture solutions align with security, privacy, compliance, and governance requirements
• Collaborate closely with delivery squads, engineering teams, and product leaders to accelerate delivery outcomes
• Provide architectural guidance across multiple initiatives while influencing technology strategy and standards
• Mentor engineers, architects, and technical specialists on architecture best practices and modern design principles

Technologies:

• Agentic AI
• AI
• API
• Architect
• Azure
• Cloud
• ETL
• Flow
• Support
• Security
• TOGAF
• Office 365

More:

We are reimagining how organisations connect talent, technology, and opportunity, building next-generation digital products powered by Artificial Intelligence, enterprise data platforms, cloud-native technologies, and intelligent automation. This hybrid role is based in London, United Kingdom or Glasgow, Scotland, and offers the opportunity to work on greenfield AI initiatives, influence enterprise technology strategy, and establish architecture standards for intelligent workforce platforms. You will work with Product, Data, Security, Engineering, and Architecture leaders in a collaborative culture that values innovation, continuous learning, responsible innovation, engineering excellence, and customer-focused outcomes. Benefits include hybrid working, performance-based annual bonus, 28 days annual leave plus public holidays, annual leave purchase scheme, private healthcare, discounted dental insurance, health cashback programme, paid volunteering days, caregiver leave, retail discounts, and an employee share scheme.

last updated 36 week of 2026